A computer implemented method for controlling at least one driven and/or braked wheel of a heavy-duty vehicle. The method includes obtaining a motion request indicative of a desired longitudinal acceleration and/or longitudinal force associated with the vehicle, and configuring a wheel slip limit value indicative of a maximum allowable wheel slip by the at least one driven and/or braked wheel at a nominal value, and increasing the wheel slip limit value from the nominal value to a boost wheel slip value in response to detecting a boost signal, as well as controlling the at least one driven and/or braked wheel in dependence of the motion request and subject to the wheel slip limit value.

A method of controlling a vehicle having wheels provided with tires resting on a surface, the method using a model of the physical behavior of each tire as a function of a sideslip angle (β.sub.ij) for each tire relative to the surface. The model is obtained by implementing an adaptive algorithm that selectively applies an affABREGEine model (Z1), a DUGOFF model (Z2), or a constant model (Z3).

A method for controlling a vehicle including an actuator along a trajectory, in which the trajectory is planned within a search space, and considers a projection of a manipulated variable of the actuator. The method includes creating an actuator model of the actuator on the basis of the manipulated variable of the actuator; defining time increments of the projection; determining the change in the manipulated variable of the actuator along the time increments on the basis of the actuator model and a limit value for the manipulated variable; limiting the search space on the basis of the limit value of the manipulated variable of the actuator; determining an acceleration value and/or a deceleration value of the vehicle by converting the manipulated variable using the vehicle mass and the wheel radius; and outputting the acceleration value and the deceleration value to limit the search space within which the trajectory is planned.

A method for planning an activation action for an engine of a vehicle is disclosed. The method includes planning, according to a model, an activation action of an engine of a vehicle, and activating the engine according to the activation action. The model includes a state space comprising a current charge level of the battery and whether the engine is currently on or off. The activation action is selected from a set comprising a first action to turn on the engine to charge the battery and a second action to turn off the engine.

A lane centering system for use in a vehicle driving in a lane on a road includes a lane delimiter detection device having a camera with a field of view that encompasses the road ahead of the vehicle. Based on processing of captured image data, a controller determines the positions of left and right lane delimiters on the road. The controller is operable to establish a target path for the vehicle that maintains the longitudinal centerline of the vehicle generally centered between the left lane delimiter and the right lane delimiter. The controller is automatically activated to control steering the vehicle along the target path when the speed of the vehicle is at or above a first speed level. When having activated control of steering, the controller automatically deactivates control of steering when the speed of the vehicle falls to at or below a second speed level.

To keep plant performance constant in a control apparatus for controlling a plant including a plurality of units. The control apparatus (a PCM) controls an automobile including a plurality of units. The control apparatus includes a model controller that generates a target value of a characteristic to be achieved by each unit based on a model set for each unit, a unit specifier (a performance change determinator) that specifies a unit in which performance unique to the unit has changed among the units, and a target value corrector (an FF updater) that corrects the target value for the unit that has been specified by the unit specifier.

Aspects of the disclosure relate to generating simulated degraded sensor data. For instance, first sensor data collected by a sensor of a perception system of an autonomous vehicle may be received. The first sensor data may be inputted into simulated degraded sensor data for a particular degrading condition. The simulated degraded sensor data may be used to evaluate or train a model for detecting objects of the perception system.

A system and a method are configured to control a traction force of a vehicle, for example, an electrified vehicle. The system includes wheel speed sensors mounted on drive wheels, respectively, of the vehicle to measure a drive wheel speed, a disturbance observer for extracting a primary disturbance by comparing an actual vehicle behavior based on a required torque with a vehicle behavior estimated based on the drive wheel speed using a vehicle behavior model in an acceleration situation of the vehicle, a filter for extracting a secondary disturbance in a preset frequency range from the primary disturbance, a compensator for calculating a compensation torque for cancelling the secondary disturbance, a hysteresis circuit for determining whether to compensate for the required torque based on the compensation torque, and a calculator for calculating a compensated required torque using the required torque and the compensation torque.

The disclosure relates to a method that models a motor vehicle sensor in a virtual test environment by way of definition. Using a sensor support, a raycast distribution shape, a group of raycast properties, a raycast reflection factor, and a raycast echo, a sensor in reality may be tested in a virtual environment to calibrate the sensor in reality. The sensor support is a virtual sensor support for a virtual sensor model, which forms a three-dimensional or two-dimensional avatar of the sensor in reality, in the virtual test environment. The sensor support has a sensor starting point that is used as an origin for a raycast distribution shape. The method extracts a special application of the sensor in reality in an application case, which is particularly useful for testing scenarios.

A lane centering system for use in a vehicle driving in a lane on a road includes a camera and a controller. Based on processing by a processor of image data captured by the camera, the controller determines position of a left lane delimiter on the road on a left side of the vehicle and position of a right lane delimiter on the road on a right side of the vehicle. The controller is operable to determine a target path for the vehicle based on processing of image data captured by the camera. The determined target path maintains the longitudinal centerline of the vehicle centered between the left lane delimiter and the right lane delimiter. The lane centering system may be enabled responsive to the vehicle speed exceeding a threshold speed, and may be disabled during a braking event of a collision mitigation system of the vehicle.